{"id":1976636,"url":"https://alion.io/job/reckitt-ai-solutions-engineer-associate","title":"AI Solutions Engineer - Associate","company":{"id":5727,"name":"Reckitt","domain":"reckitt.com","url":"https://alion.io/company/reckitt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":7,"ghost_share":0,"stale_share":0.714,"repost_share":0.143,"time_to_fill_p50_days":28,"computed_at":"2026-10-07T05:47:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":76000,"max":95800,"currency":"USD","period":"year","gross":null,"usd_annual":95800},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"IAM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-10-06T21:37:20Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-08T00:10:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Company\nFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.We invite applications for AI Solutions Engineer - Associate\nThe AI Solutions Associate Engineer role is ideal for early-career professionals looking to build a career in supporting the development and maintenance of AI/ML solutions using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, combined with Infrastructure as Code and automation practices. The engineer will contribute to building and supporting scalable, secure AI-powered systems for the Federal Reserve System under the guidance of senior team members.\nInfrastructure Platforms & Operations:\nYou will be joining The Infrastructure, Platforms & Operations portfolio. This business line supports the strategic direction and product delivery for System IT infrastructure and operations, as well as the alignment of technology to business strategies. The team serves as the business partner for secure and reliable IT products, services, and operations.\nThis position does not sponsor employment visas. Candidates must be U.S. citizens or lawful permanent residents with at least three years of legal residency.\nThere are three (3) vacancies for this job profile, candidates will be selected based on the needs of the position and the strength of the candidate pool.\nAI/ML Solution Development\nWork under close direction and guidance; follow established methods and policies.\nContribute to RAG pipelines, prompt engineering, and agentic workflows to support business use cases\nWrite automation scripts using Python to help streamline AI model deployment, data pipelines, and operational processes\nAssist in building and deploying GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related AI/ML services, under guidance from senior engineers\nSupport configuration of AWS infrastructure for AI workloads including compute, storage, networking, and security using Terraform and Infrastructure as Code (IaC) principles\nSupport and maintain CI/CD pipelines for automated testing, deployment, and infrastructure provisioning using GitLab or similar tools\nApplication Development & Support\nAssist in developing user interfaces using React for AI front end, monitoring solutions, and administrative applications\nHelp troubleshoot and resolve routine to moderately complex AI infrastructure and application issues\nCode, test, debug, and document AI/ML pipeline components and infrastructure enhancements\nProduce ad-hoc queries, reports, and simple automation tools as requested by technical teams and business management\nSupport system health checks and basic troubleshooting to help ensure reliability of deployed solutions\nCollaboration & Process Improvement\nWork as part of an Agile team, contributing to AI capabilities that support business processes and decision-making\nParticipate in design reviews and team discussions, raising questions and sharing observations\nSupport change and problem management activities using standard tools, following FRIT change management policies and procedures\nAssist with analysis of business requirements as they relate to AI solutions\nHelp document AI solution details, runbooks, and operational procedures following technical writing best practices\nMinimum qualifications:\n0 to 3 years of direct relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or software engineering OR a bachelor's degree in computer science, Information Technology, Engineering, or related field preferred.\nInformation technology Interns with a BA degree and a strong technical foundation, from their internship experience, and relevant coursework in AI/ML are encouraged to apply\nWhat we are looking for:\nFoundational knowledge of Generative AI concepts, Large Language Models (LLMs), and prompt engineering\nBasic exposure to Retrieval-Augmented Generation (RAG) concepts and vector databases\nBasic understanding of Agentic AI concepts and orchestration patterns\nWorking knowledge of Python for scripting and automation\nBasic proficiency with Terraform or similar Infrastructure as Code tools\nFamiliarity with core AWS services (EC2, S3, Lambda, VPC, IAM)\nBasic understanding of CI/CD concepts and tools such as GitLab\nBasic knowledge of React for frontend development\nUnderstanding of version control systems (Git) and collaborative development workflows\nBasic knowledge of SQL queries and data analysis techniques\nCertification related to Information Technology or AI/ML preferred (AWS Certified Cloud Practitioner, HashiCorp Certified: Terraform Associate, AWS AI Practitioner, or similar)\nTechnical Competencies:\nGeneral knowledge of cloud computing concepts and AI/ML system basics\nBasic understanding of networking fundamentals and security principles\nWillingness to learn and grow problem-solving skills to debug technical issues with guidance\nAbility to follow technical standards and engineering best practices\nBasic awareness of performance measures and metrics relevant to system health (nice to have)\nProfessional Competencies:\nStrong written and verbal communication skills with attention to detail\nAbility to document technical work clearly for technical and non-technical audiences\nCollaborator who is cooperative and open to feedback and mentorship\nDemonstrates enthusiasm for learning new AI technologies and staying current with industry trends\nBasic understanding of risk management principles in decision-making, particularly regarding responsible AI use\nIn addition to meeting the above requirements the following are nice to have but not required:\nCoursework, projects, or internship exposure to AWS Bedrock or GenAI/RAG applications\nExposure to AI agent frameworks (e.g., LangChain, LangGraph, or similar)\nBasic knowledge of vector databases and embedding models\nFamiliarity with containerization technologies (Docker, ECS, EKS)\nExposure to API development and RESTful services\nFamiliarity with Agile methodologies\nGeneral familiarity with monitoring and observability concepts (e.g., logging, metrics, alerting, dashboards) and related tools such as CloudWatch, Grafana, or similar platforms\nAdditional Information:\nThe full salary range for the Associate Engineer job profile: $76,000-$95,800.00-$124,500.00.\nThe candidate’s new job title and associated pay range will be determined by the employing District, and they will be subject to the employing District’s people policies and practices.\nAs a Federal Reserve System National Business Line, it is standard practice to post System IT positions in multiple Districts to provide transparency and equitable opportunities. Internal candidate(s) selected for this position will remain employed by their current employing District and serve as an employee of System IT*.\n*Current remote employees will not be guaranteed to keep their remote status with their employing bank. The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.\nEligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA OR \nThe following Reserve Bank locations are preferred due to the concentration of System IT team members in these locations: Atlanta, Boston, Chicago, Kansas City, Minneapolis, New York, Richmond, and San Francisco. (example for limited posting locations) \nScreening:\nThis position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and could take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.\nOur total rewards program offers benefits that are the best fit for you at every stage of your career:\nComprehensive healthcare options (Medical, Dental, and Vision) \n401(k) match, and a fully funded pension plan \nPaid time off and holidays \nAnnual educational assistance \nProfessional development programs, training and conferences \nAnd more… \nThe Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.\nFull Time / Part Time\nFull timeRegular / Temporary\nRegularJob Exempt (Yes / No)\nYesJob Category\nInformation Technology Family GroupWork Shift\nFirst (United States of America)The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.\nAlways verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.\nPrivacy Notice","description_format":"text","description_chars":9445,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cleaning & Household Products","Personal Hygiene & Toiletries","OTC & Consumer Health Products","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-06T21:37:20Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-07T05:47:15Z"},"pay":{"stated_usd_annual":95800,"is_top_pay":false},"html_url":"https://alion.io/job/reckitt-ai-solutions-engineer-associate","json_url":"https://alion.io/job/reckitt-ai-solutions-engineer-associate.json","meta":{"generated_at":"2026-10-08T02:25:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4195,"day_limit":5000,"remaining_today":805,"minute_limit":60,"resets_at":"2026-10-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5727},"rest":"https://alion.io/mcp/rest/get_company?id=5727"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freckitt-ai-solutions-engineer-associate"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Freckitt-ai-solutions-engineer-associate"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Freckitt-ai-solutions-engineer-associate"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/reckitt-ai-solutions-engineer-associate\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freckitt-ai-solutions-engineer-associate"}]}